An offline, high-performance reference tool for developers to master GraphQL client concepts and implementation patterns.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install graphql-client
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install graphql-client using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GraphQL Client skill is a robust developer tool designed to provide instantaneous access to essential GraphQL documentation directly within your AI agent environment. As part of the Openclaw Skills ecosystem, it serves as a comprehensive reference for devtools, covering everything from initial setup to complex architectural patterns without requiring external network calls.
By centralizing best practices and implementation details, this skill ensures that developers can maintain high-velocity workflows. It eliminates the need to browse external documentation by providing locally-served, plain-text reference guides for every stage of the development lifecycle, from schema design to production security.
intro or patterns).To integrate this tool into your environment as part of your Openclaw Skills library, follow these steps:
# Install the skill via your agent's skill manager
openclaw install graphql-client
# Access the introduction to verify the installation
graphql-client intro
The skill organizes information into distinct modules for quick retrieval. Each module is mapped to a specific command to ensure minimal latency:
| Module | Content Focus |
|---|---|
| Core Concepts | Intro, Quickstart, and Cheatsheet |
| Optimization | Performance tuning and Debugging strategies |
| Architecture | Implementation Patterns and Migration paths |
| Compliance | Security best practices and protocols |
All data is stored in plain-text format, ensuring compatibility across various terminal environments and AI coding agents.
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